2377 search results for "regression"

Stepwise Regression – What’s not to like ?

September 18, 2016
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Stepwise Regression – What’s not to like ?

  Plenty, apparently. Besides encouraging you not to think , it doesn’t exactly do a great job at what it claims to do. Given a set of predictors, there is no guarantee that stepwise regression will find the optimal combination. Many of my statisticians buddies , whom I consult from time to time,  have a  gripe with it because…

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Multiple Regression (sans interactions) : A case study.

September 16, 2016
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Multiple Regression (sans interactions) : A case study.

Dataset: state.x77 – Standard built-in dataset with 50 rows and 8 columns giving the following statistics in the respective columns. Population: population estimate as of July 1, 1975 Income: per capita income (1974) Illiteracy: illiteracy (1970, percent of population) Life Exp: life expectancy in years (1969–71) Murder: murder and non-negligent manslaughter rate per 100,000 population (1976) HS Grad: percent high-school graduates (1970) Frost: mean…

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A Shiny App for Passing Bablok and Deming Regression

A Shiny App for Passing Bablok and Deming Regression

Background Back in 2011 I was not aware of any tool in R for Passing Bablok (PB) regression, a form of robust regression described in a series of three papers in Clinical Chemistry and Laboratory Medicine (then J Clin Chem and Biochem) available here, here and here. For reasons that are not entirely clear to … Continue...

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Learning Club 05-07: Starting to love rmarkdown (Naive Bayes, Clustering, Linear Regression)

July 27, 2016
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Learning Club 05-07: Starting to love rmarkdown (Naive Bayes, Clustering, Linear Regression)

I remember when I had an R course at university I was really not a fan of rmarkdown and knitr. But since I participate in a Learning Club, where people are encouraged to document and present their code, data and results, I started to love it. Prior to that I’ve always documented my assignments at the university either … Continue...

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Yet Another Post on Logistic Regression

July 21, 2016
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Yet Another Post on Logistic Regression

Everyday statisticians, analysts and data enthusiasts perform data analysis for different purposes. But when it comes to presenting analyses to wider audience, the good work is not the complex one with big words. It is the one that highlights interesting relations, answers business questions or predict outcomes, and explain all that in the simplest way through data visualization or...

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Performing Principal Components Regression (PCR) in R

July 20, 2016
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Performing Principal Components Regression (PCR) in R

Principal components regression (PCR) is a regression method based on Principal Component Analysis: discover how to perform this Data Mining technique in R The post Performing Principal Components Regression (PCR) in R appeared first on MilanoR.

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Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]

June 21, 2016
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Introduction to R for Data Science :: Session 8 [Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression]

Welcome to Introduction to R for Data Science, Session 8: Intro to Text Mining in R, ML Estimation + Binomial Logistic Regression [Web-scraping with tm.plugin.webmining. The tm package corpora structures: assessing document metadata and content. Typical corpus transformations and Term-Document Matrix production. A simple binomial regression model with tf-idf scores as features and its shortcommings due to sparse data....

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A web interface for regression analysis: Walkthrough

June 18, 2016
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A web interface for regression analysis: Walkthrough

After the quick overview, here is a quick walkthrough to some categorical analysis.Open the app: Here1. Import the data:Here are some homemade data, done with the following R code: set.seed(3467)x=1:400+rnorm(400,0,1)y1=x*2.5+40+rnorm(400,0,50)y2=x*4.5+80+rnorm(400,0,50)group=rep(c('G1','G2'),each=400)x=c(x,x)y=c(y1,y2)DF=data.frame(x=x,y=y,group=group)write.csv(DF,'DF.csv')Click on import data, select your data and set rownames to first column. You should then get a quick overview of the data:

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A web interface for regression analysis: Overview

June 18, 2016
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A web interface for regression analysis: Overview

A Web interface for regression analysis (aka WIfRA) 1.What is it ?Firstly, it was supposed to be a project to learn Shiny and quickly turn into a real project. I wanted to bring data visualisation, regression analysis technique and data engineering to everybody and for no-cost. Basically, this is a point and click UI to do some advanced linear regression...

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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

June 13, 2016
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R for Publication by Page Piccinini: Lesson 4 – Multiple Regression

Introduction Today we’ll see what happens when you have not one, but two variables in your model. We will also continue to use some old and new dplyr calls, as well as another parameter for our ggplot2 figure. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done Lesson 4: Multiple...

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